Amazon-posted 8 days ago
$51,000 - $114,100/Yr
Full-time • Mid Level
Boston, MA
5,001-10,000 employees

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences. Key job responsibilities Specifically, the Language Engineer will:

  • Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
  • Analyze and extract language-related insights from large amounts of data
  • Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
  • Use modeling tools to bootstrap or test new functionalities
  • Collaborate with scientists and software engineers to evaluate performance of language models
  • Handle competing requests from a range of data customers
  • Masters’s or higher degree in a relevant field (computational linguistics or equivalent field with computational analysis)
  • 2+ years experience in computational linguistics or language data processing
  • Experience with language annotation and other forms of data markup
  • Experience with scripting languages, such as Python
  • Experience working with speech and text language data in multiple languages
  • Excellent communication, strong organizational skills and very detailed oriented
  • Comfortable working in a fast paced, highly collaborative, dynamic work environment
  • PhD in Computational Linguistics (or equivalent field with computational emphasis)
  • Expertise in bootstrapping language data collections in a quickly changing environment
  • Comfortable working with speech and text language data in multiple languages
  • Experience in writing grammars and building FSTs
  • Experience with statistical language modeling
  • Practical knowledge of version control and agile development
  • Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
  • Willingness to support several projects at one time, and to accept reprioritization as necessary
  • Able to think creatively and possess strong analytical and problem solving skills
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • Our inclusive culture empowers Amazonians to deliver the best results for our customers.
  • If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
  • If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  • Our compensation reflects the cost of labor across several US geographic markets.
  • The base pay for this position ranges from $51,000/year in our lowest geographic market up to $114,100/year in our highest geographic market.
  • Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
  • Amazon is a total compensation company.
  • Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
  • For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits .
  • This position will remain posted until filled.
  • Applicants should apply via our internal or external career site.
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